Mile Sikic

Mile Sikic

Sveucilište u Zagrebu

H-index: 23

Europe-Croatia

About Mile Sikic

Mile Sikic, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at Sveucilište u Zagrebu, specializes in the field of bioinformatics, computational biology, algorithms, machine learning, complex networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Hitchhiker’s Guide to Sequencing Data Types and Volumes for Population-Scale Pangenome Construction

RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks

Comparative analysis of metagenomic classifiers for long-read sequencing datasets

Geometric deep learning framework for de novo genome assembly

Finding Hamiltonian cycles with graph neural networks

Reconstruction of short genomic sequences with graph convolutional networks

Graph Neural Network Meets de Bruijn Genome Assembly

Learning to untangle genome assembly with graph convolutional networks

Mile Sikic Information

University

Position

Faculty of Electrical Engineering and Computing

Citations(all)

5744

Citations(since 2020)

4609

Cited By

2803

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

28

i10Index(since 2020)

23

Email

University Profile Page

Sveucilište u Zagrebu

Google Scholar

View Google Scholar Profile

Mile Sikic Skills & Research Interests

bioinformatics

computational biology

algorithms

machine learning

complex networks

Top articles of Mile Sikic

Title

Journal

Author(s)

Publication Date

The Hitchhiker’s Guide to Sequencing Data Types and Volumes for Population-Scale Pangenome Construction

bioRxiv

Prasad Sarashetti

Josipa Lipovac

Filip Tomas

Mile Šikic

Jianjun Liu

2024/3/16

RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks

arXiv preprint arXiv:2403.00043

Rafael Josip Penić

Tin Vlašić

Roland G Huber

Yue Wan

Mile Šikić

2024/2/29

Comparative analysis of metagenomic classifiers for long-read sequencing datasets

BMC bioinformatics

Josip Marić

Krešimir Križanović

Sylvain Riondet

Niranjan Nagarajan

Mile Šikić

2024/1/11

Geometric deep learning framework for de novo genome assembly

bioRxiv

Lovro Vrček

Xavier Bresson

Thomas Laurent

Martin Schmitz

Kenji Kawaguchi

...

2024

Finding Hamiltonian cycles with graph neural networks

Filip Bosnić

Mile Šikić

2023/9/18

Reconstruction of short genomic sequences with graph convolutional networks

Lovro Vrćek

Xavier Bresson

Thomas Laurent

Martin Schmitz

Mile Šikić

2023/5/22

Graph Neural Network Meets de Bruijn Genome Assembly

Marijo Simunovic

Lovro Vrcek

Mile Sikic

2023/9/18

Learning to untangle genome assembly with graph convolutional networks

arXiv preprint arXiv:2206.00668

Lovro Vrček

Xavier Bresson

Thomas Laurent

Martin Schmitz

Mile Šikić

2022/6/1

Učinkovitost sljedeće generacije sekvenciranja u dijagnostici bakterijskih zoonoza

Veterinarska stanica

Sanja Duvnjak

Željko Pavlinec

Robert Vaser

Krešimir Križanović

Mile Šikić

...

2022

Efficacy of next-generation sequencing in bacterial zoonoses diagnostics

Veterinarska stanica

Sanja Duvnjak

Željko Pavlinec

Robert Vaser

Krešimir Križanović

Mile Šikić

...

2022

Rockfish: a transformer-based model for accurate 5-methylcytosine prediction from nanopore sequencing

bioRxiv

Dominik Stanojević

Zhe Li

Roger Foo

Mile Šikić

2022/11/14

Genome assembly and chemogenomic profiling of National Flower of Singapore Papilionanthe Miss Joaquim ‘Agnes’ reveals metabolic pathways regulating floral …

Communications biology

Abner Herbert Lim

Zhen Jie Low

Prashant Narendra Shingate

Jing Han Hong

Shu Chen Chong

...

2022/9/15

Direct identification of A-to-I editing sites with nanopore native RNA sequencing

Nature methods

Tram Anh Nguyen

Jia Wei Joel Heng

Pornchai Kaewsapsak

Eng Piew Louis Kok

Dominik Stanojević

...

2022/7

A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines

BioRxiv

Ying Chen

Nadia M Davidson

Yuk Kei Wan

Harshil Patel

Fei Yao

...

2021/4/22

Whole genome comparison of Vibrio harveyi strains from the Mediterranean Sea

Željko Pavlinec

Robert Vaser

Ivana Giovanna Zupičić

Snježana Zrnčić

Dražen Oraić

...

2021

Genome Sequence Reconstruction Using Gated Graph Convolutional Network

Lovro Vrček

Robert Vaser

Thomas Laurent

Mile Sikic

Xavier Bresson

2021/10/6

Time-and memory-efficient genome assembly with Raven

Nature Computational Science

Robert Vaser

Mile Šikić

2021/5

Comprehensive benchmarking of metagenomic classification tools for long-read sequencing data

BioRxiv

Josip Marić

Krešimir Križanović

Sylvain Riondet

Niranjan Nagarajan

Mile Šikić

2020/11/26

A step towards neural genome assembly

arXiv preprint arXiv:2011.05013

Lovro Vrček

Petar Veličković

Mile Šikić

2020/11/10

Raven: a de novo genome assembler for long reads

BioRxiv

Robert Vaser

Mile Šikić

2020/8/10

See List of Professors in Mile Sikic University(Sveucilište u Zagrebu)

Co-Authors

H-index: 45
Guoliang Li (李国亮)

Guoliang Li (李国亮)

Huazhong Agricultural University

H-index: 30
Kristian Vlahovicek

Kristian Vlahovicek

Sveucilište u Zagrebu

H-index: 21
Julien Roux

Julien Roux

Universität Basel

H-index: 6
Krešimir Križanović

Krešimir Križanović

Sveucilište u Zagrebu

H-index: 6
Robert Vaser

Robert Vaser

Sveucilište u Zagrebu

H-index: 5
Andrej Novak

Andrej Novak

Sveucilište u Zagrebu

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